Automate Auditable SAS EG Analytics

Overview

Research shows 80% of analytical projects is dedicated to data preparation, making efficient data structuring workflows critical for productivity. This Short Course was created to help Data Analysis professionals accomplish rapid development of reproducible SAS Enterprise Guide pipelines using visual tools and automation features. By completing this course, you'll be able to build Query Builder flows for filtering, joining, and aggregating data, implement parameterized prompts for standardized reruns, validate generated SAS code for accuracy, and structure projects with clear traceability—capabilities you can deploy to production tomorrow. By the end of this course, you will be able to: ● Use the Query Builder for filtering, sorting, and creating calculated columns ● Perform table joins, aggregations, and transpose operations for data reshaping ● Create prompts for user input and implement conditional execution logic to support standardized workflows ● Understand and validate generated SAS code, debug using the SAS log, and create repeatable analytical processes with governance controls This course is unique because it emphasizes the full analytical lifecycle from data manipulation through workflow automation to code validation, bridging point-and-click Query Builder operations with reproducible research principles and auditability requirements for regulated environments. To be successful in this project, you should have a background in data analysis fundamentals, basic SQL concepts, and analytical workflow design at CB2 intermediate-level expertise.

Syllabus

Using Query Builder for Data Operations

You will build foundational SAS Enterprise Guide skills by using the Query Builder to filter, sort, and create calculated columns on clinical trial source data.

Performing Advanced Data Transformations

You will reshape clinical trial data in SAS Enterprise Guide by performing table joins, aggregations, and transpose operations using the Query Builder.

Creating Parameterized Workflows

You will design reusable SAS Enterprise Guide workflows by implementing user prompts for dynamic inputs and conditional execution logic that routes processing based on data availability.

Validating Code and Ensuring Reproducibility

You will validate generated SAS code, debug using the SAS log, and create repeatable analytical processes with governance controls that meet regulatory audit requirements.